Optimize Classifier Training with Vector Search

Pretrained models dominate the world of machine learning. Very few ML projects begin by training a new model from scratch. Instead, people often start by taking an off-the-shelf model like Resnet or BERT and fine-tuning it for another domain, or using an existing in-house model for the same purpose.

The ecosystem of pretrained models, both external and in-house, has allowed us to push the limits of what is possible. This doesn’t mean, however, that there are no challenges.

This is a companion discussion topic for the original entry at https://www.pinecone.io/learn/classifier-train-vector-search/